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Lightning Tree at Night: A Surrealist Landscape
Lightning Tree at Night: A Surrealist Landscape
4 years ago

A Magnificent Lightning Tree At Night!!! A masterpiece of astounding quality by Salvador Dali, Steven Belledin, Thomas Kinkade, Caspar David...

Criado 4 years ago · 7 comentários· 0 curtida

Stable Diffusion 1.5Stable Diffusion 1.5

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Resumo da criação por Vincent

Lightning Tree at Night: A Surrealist Landscape

A captivating image of a lightning tree on a cliff at night. The surreal landscape features vivid colors, ornate details, and elegant touches in a fantastical, otherworldly scene, rendered with cinematic lighting and depth of field.

Criado por greatday4everyone em Dec 29, 2022 usando o modelo Stable Diffusion 1.5 gerador de imagens AI.


7 Comentários

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Anonymous User
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So beautuful light!
2022-12-29T20:07:40.607ZReply
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Configurações de Criação

Prompts de texto
A Magnificent Lightning Tree At Night!!! A masterpiece of astounding quality by Salvador Dali, Steven Belledin, Thomas Kinkade, Caspar David Friedrich, Greg Rutkowski, and Rebecca Sugar
Weight: 1
''beautiful reflection landscape!! Lightning Tree on a large cliff in fantastic meadow!!!'' Artwork by Antoni Gaudi, Joe Fenton, Andree Wallin, Ismail Inceoglu, Wassily Kandinsky, Katsushika Hokusai, fantastical surrealist otherworldly, vivid colours, ornate, intricate, elegant, artstation, 8K octane ...
Weight: 1
Cel-shaded, depth of field, particles, post processing, raytraced, stylized effects, tracing reflections, VRAY.
Weight: 1
Cinematic, Beautiful Lighting, Parallax, Incredible Depth Amazing depth of field, incredible, masterpiece, expansive
Weight: 1
ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft
Weight: -0.3
Modelo
Stable Diffusion 1.5
CKPT

Stable Diffusion 1.5

Resolução inicial

Thumb

Proporção

1:1

Tempo de execução

Short

Peso Geral do Prompt

50%

Peso do Ruído

50%

Método de amostragem

K_HEUN


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